Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bilsland
1
73 kgSaidkhuzhin
2
69 kgTakács
5
65 kgGráč
9
79 kgBurkhard
10
75 kg
1
73 kgSaidkhuzhin
2
69 kgTakács
5
65 kgGráč
9
79 kgBurkhard
10
75 kg
Weight (KG) →
Result →
79
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BILSLAND William | 73 |
| 2 | SAIDKHUZHIN Gainan | 69 |
| 5 | TAKÁCS András | 65 |
| 9 | GRÁČ Daniel | 79 |
| 10 | BURKHARD Ebert | 75 |